Existing work on differentially private linear regression typically assu...
Linear regression is a fundamental tool for statistical analysis. This h...
We present a differentially private algorithm for releasing the sequence...
Differential privacy has become the standard for private data analysis, ...
In shuffle privacy, each user sends a collection of randomized messages ...
Quantiles are often used for summarizing and understanding data. If that...
In the shuffle model of differential privacy, data-holding users send
ra...
A centrally differentially private algorithm maps raw data to differenti...
We prove a general connection between the communication complexity of
tw...
We study the power of interactivity in local differential privacy. First...
We study a basic private estimation problem: each of n users draws a sin...
There are now several large scale deployments of differential privacy us...
We introduce a flexible family of fairness regularizers for (linear and
...
We introduce the study of fairness in multi-armed bandit problems. Our
f...